// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

#ifndef EIGEN_CXX11_TENSOR_TENSOR_CONTRACTION_BLOCKING_H
#define EIGEN_CXX11_TENSOR_TENSOR_CONTRACTION_BLOCKING_H

namespace Eigen {
namespace internal {

    enum
    {
        ShardByRow = 0,
        ShardByCol = 1
    };

    // Default Blocking Strategy
    template <typename ResScalar, typename LhsScalar, typename RhsScalar, typename StorageIndex, int ShardingType = ShardByCol> class TensorContractionBlocking
    {
    public:
        /*
   adding EIGEN_DEVICE_FUNC unconditionally to 'TensorContractionBlocking' constructor in `TensorContractionBlocking.h`
     requires adding EIGEN_DEVICE_FUNC to `computeProductBlockingSizes` in `GeneralBlockPanelKernel.h`
     which in turn, requires adding EIGEN_DEVICE_FUNC to `evaluateProductBlockingSizesHeuristic` in `GeneralBlockPanelKernel.h`
     which in turn, requires adding EIGEN_DEVICE_FUNC to `manage_caching_sizes` in `GeneralBlockPanelKernel.h`
     (else HIPCC will error out)

   However adding EIGEN_DEVICE_FUNC to `manage_caching_sizes` in `GeneralBlockPanelKernel.h`
   results in NVCC erroring out with the following error

   ../Eigen/src/Core/products/GeneralBlockPanelKernel.h(57): error #2901:
      dynamic initialization is not supported for function-scope static variables within a __device__/__global__ function
 */

#if !defined(EIGEN_HIPCC)
        EIGEN_DEVICE_FUNC
#endif
        TensorContractionBlocking(StorageIndex k, StorageIndex m, StorageIndex n, StorageIndex num_threads = 1) : kc_(k), mc_(m), nc_(n)
        {
            if (ShardingType == ShardByCol)
            {
                computeProductBlockingSizes<LhsScalar, RhsScalar, 1>(kc_, mc_, nc_, num_threads);
            }
            else
            {
                computeProductBlockingSizes<LhsScalar, RhsScalar, 1>(kc_, nc_, mc_, num_threads);
            }

            const int rhs_packet_size = internal::packet_traits<RhsScalar>::size;
            kc_ = (rhs_packet_size <= 8 || kc_ <= rhs_packet_size) ? kc_ : (kc_ / rhs_packet_size) * rhs_packet_size;
        }

        EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE StorageIndex kc() const { return kc_; }
        EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE StorageIndex mc() const { return mc_; }
        EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE StorageIndex nc() const { return nc_; }

    private:
        StorageIndex kc_;
        StorageIndex mc_;
        StorageIndex nc_;
    };

}  // end namespace internal
}  // end namespace Eigen

#endif  // EIGEN_CXX11_TENSOR_TENSOR_CONTRACTION_BLOCKING_H
